Text boundaries do not provide a better segmentation of Gregorian antiphons

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985921%3A_____%2F23%3A00577928" target="_blank" >RIV/67985921:_____/23:00577928 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11320/23:10475956

Výsledek na webu

<a href="https://doi.org/10.1145/3625135.3625143" target="_blank" >https://doi.org/10.1145/3625135.3625143</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3625135.3625143" target="_blank" >10.1145/3625135.3625143</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Text boundaries do not provide a better segmentation of Gregorian antiphons

Popis výsledku v původním jazyce

It has been previously proposed that syllable and word boundaries in Gregorian chant texts can be used to segment chant melodies in a more meaningful way than segmentation methods that do not take textual information into account, based on how accurately the mode of a melody can be determined from the presence of such melodic segments. This was evidenced by empirical measurements on antiphons and responsories with fully transcribed melodies available from the Cantus database. We show that for antiphons, however, this result does not hold, as in these experiments, differentiae were not removed from the transcribed melodies. With appropriate data cleaning, the modality of a melody can be determined from segments that ignore textual boundaries just as accurately, and the resulting classification scores are not significantly better than those obtained from pitch profiles. Thus, while the idea is clearly attractive, there is currently no reason to suspect that textual boundaries lead to a more meaningful segmentation of chant melodies.

Název v anglickém jazyce

Text boundaries do not provide a better segmentation of Gregorian antiphons

Popis výsledku anglicky

It has been previously proposed that syllable and word boundaries in Gregorian chant texts can be used to segment chant melodies in a more meaningful way than segmentation methods that do not take textual information into account, based on how accurately the mode of a melody can be determined from the presence of such melodic segments. This was evidenced by empirical measurements on antiphons and responsories with fully transcribed melodies available from the Cantus database. We show that for antiphons, however, this result does not hold, as in these experiments, differentiae were not removed from the transcribed melodies. With appropriate data cleaning, the modality of a melody can be determined from segments that ignore textual boundaries just as accurately, and the resulting classification scores are not significantly better than those obtained from pitch profiles. Thus, while the idea is clearly attractive, there is currently no reason to suspect that textual boundaries lead to a more meaningful segmentation of chant melodies.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

60403 - Performing arts studies (Musicology, Theater science, Dramaturgy)

Projekt

—

Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

DLfM ’23: Proceedings of the 10th International Conference on Digital Libraries for Musicology

ISBN

979-8-4007-0833-6

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

72-76

Název nakladatele

Association for Computing Machinery

Místo vydání

New York

Místo konání akce

Milan

Datum konání akce

10. 11. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001139082400011